CLEF CheckThat! 2023 Subjectivity — Dutch

A CLEF CheckThat! 2023 subjectivity task (dutch) dataset of 800 sentences with subjectivity labels (38.9% subjective), collected by CLEF CheckThat! Lab organizers (2023). Each record contains sentence text, binary subjectivity label (SUBJ/OBJ), sentence ID, conflict resolution flag. CLEF 2023 CheckThat! subjectivity (dutch) provides 800 news sentences annotated for subjectivity — whether the sentence expresses opinions (SUBJ) or facts (OBJ). Suitable for subjectivity detection, opinion mining, NLP classification, news objectivity analysis, multilingual text classification.

#Clef checkthat#Shared task#Subjectivity detection

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Analytics

Content metrics

800 records scored

is subjective38.9% true
true 38.9%false 61.1%
9.8
Flesch–Kincaid grade
US school grade level
13.9
Automated readability index
Frequent terms
procentmensenvrouwengaanzorgpartijtrumpgaatkomennieuwegrotevvdlandenverkiezingenjaarstemtweevindenwraakbouwendenkennederlandpartijennederlandseprovinciestaanvindtweekd66deeljarenlandmakenmannennemenperschipholvleesamerikaansedebatdigitalegemeentengoedkomtlangernodigcirkelelkaaretenjonge
Topic clusters

Topic 0

worden
wordt
provinciale
meet
het
van
luchthaven
een

Topic 1

door
het
die
voor
dat
van
zich
niet

Topic 2

zijn
dat
het
zou
zelf
niet
maar
haar

Topic 3

van
voor
het
europese
die
politiek
cirkel
ook

Topic 4

twee
dat
haar
van
meet
een
nog
geen

Topic 5

een
groep
amsterdam
procent
het
die
hogeropgeleiden
dan

Topic 6

landen
nederlandse
niet
deal
land
het
eilanden
nederland

Topic 7

hij
amerikaanse
zou
president
steun
zijn
venezolaanse
oppositieleider

Topic 8

cohen
hij
van
het
zijn
dat
president
congres

Topic 9

meer
auto
een
vlee
automatische
piloot
eten
dan

Topic 10

stem
stemmen
een
dat
aldus
vvd
zal
rutte

Topic 11

het
uit
van
bij
een
wij
koloniale
die

Computed over the full corpus.

Record

Catalog key
checkthat-2023-task2-dutch
Authors
Nakov, Preslav; Barrón-Cedeño, Alberto; Da San Martino, Giovanni; CheckThat! Lab Organizers
Year
2023
Source paper
CLEF 2023 CheckThat! Lab: Subjectivity Detection
DOI / arXiv
10.1007/978-3-031-28241-6_59
License
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0) (CC-BY-NC-SA-4.0)
Records
800
Languages
nl
Collected
2023 (2020s)
Tasks
Subjectivity classification (binary; is_subjective) inferred
Region
Netherlands · Europe (inferred: named in the description)

Provenance

Originally published at
https://gitlab.com/checkthat_lab/clef2023-checkthat-lab link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 121.3 KB across 1 files. Checksums in MANIFEST.json.

Citations

The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority
Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Giovanni Da San Martino, Tamer Elsayed
Journal Article · European Conference on Information Retrieval · 2023

48
citations
cited
0
influential citations
0% of all citations

Cited by

Show all 10

Citation data from Semantic Scholar, retrieved 2026-10-19.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@inproceedings{checkthat2023subj,
  title     = {CLEF 2023 {CheckThat!} Lab: Subjectivity Detection},
  author    = {Nakov, Preslav and others},
  booktitle = {CLEF 2023 Working Notes},
  year      = {2023}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Nakov, P., Barrón-Cedeño, A., Da San Martino, G., & CheckThat! Lab Organizers (2023). CLEF CheckThat! 2023 Subjectivity — Dutch [Data set]. https://doi.org/10.1007/978-3-031-28241-6_59

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Nakov, Preslav, et al. CLEF CheckThat! 2023 Subjectivity — Dutch. 2023, doi.org/10.1007/978-3-031-28241-6_59.

BibTeX · RIS · CSL-JSON

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